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The implications of high-frequency trading on market efficiency and price discovery

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  • Viktor Manahov
  • Robert Hudson

Abstract

This study investigates the implications of high-frequency trading (HFT) on market efficiency and price discovery by using state-space models and real-life one-minute high-frequency data of the six most traded currency pairs worldwide - USD/EUR, USD/JPY, USD/GBP, USD/AUD, USD/CHF and USD/CAD. We found significant evidence that HFT enhances market efficiency and has a beneficial role in price discovery by trading in the direction of the permanent component of the state-space model and in the opposite direction of its transitory component.

Suggested Citation

  • Viktor Manahov & Robert Hudson, 2014. "The implications of high-frequency trading on market efficiency and price discovery," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1148-1151, November.
  • Handle: RePEc:taf:apeclt:v:21:y:2014:i:16:p:1148-1151
    DOI: 10.1080/13504851.2014.914135
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    References listed on IDEAS

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    1. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
    2. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
    3. Menkveld, Albert J., 2013. "High frequency trading and the new market makers," Journal of Financial Markets, Elsevier, vol. 16(4), pages 712-740.
    4. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.
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    Citations

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    Cited by:

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    2. Jin, Liwei & Yuan, Xianghui & Li, Xiang & Ma, Huanglong & Lian, Feng, 2022. "Would widening price limits improve the efficiency of price discovery?," Finance Research Letters, Elsevier, vol. 50(C).
    3. Phiri, Andrew, 2017. "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 13(1).
    4. Wu, Liang & Liu, Hengzhi & Liu, Chang & Long, Yunshen, 2020. "Determining the information share of liquidity and order flows in extreme price movements," Economic Modelling, Elsevier, vol. 93(C), pages 559-575.

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